{"id":1438621,"url":"https://alion.io/job/allegro-data-scientist-logistics-ai-ml","title":"Data Scientist - Logistics AI & ML","company":{"id":1876195,"name":"Allegro","domain":"allegro.eu","url":"https://alion.io/company/allegro-eu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":71000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CatBoost","optional":false},{"name":"GCP","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Optuna","optional":false},{"name":"Pandas","optional":false},{"name":"Polars","optional":false},{"name":"Prophet","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Consul","optional":true},{"name":"Docker","optional":true},{"name":"Gemini","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Service Mesh","optional":true},{"name":"Vertex AI","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-09-26T02:00:00Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-18T19:51:01Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Welcome to the Delivery Experience (DEX) Data Science team, where we pride ourselves on developing data-driven products that propel the business and logistics of Allegro forward. Our expertise spans across a wide range of logistics process optimization, volume management, and delivery time prediction. We utilize a mix of Machine Learning (ML), Operations Research optimization tools, Google Cloud Platform components, and advanced data analytics to solve complex business challenges.\nWe are building core Artificial Intelligence systems that dynamically optimize delivery costs and improve the efficiency of our network - including parcel lockers (One Box) and courier operations. Joining us means becoming part of a Data Science group that collaborates closely with product, engineering, and operations to build AI/ML systems running directly in production environments.\nImportant things for you:\nThe salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost):\nPLN 14 600 - 20 825\n\nAnnual bonus based on your annual performance and company results.\n\nOur team is based in Warsaw.\n\nIn your daily work you will handle the following tasks:\nData Modeling & Analysis: Creating complex data models using machine learning, deep learning, time series forecasting, and survival models.\n\nOperations Research & Optimization: Utilizing mathematical optimization techniques (such as MILP and OR-Tools) to solve complex logistics problems.\n\nAI System Development & Innovation: Designing, developing, and maintaining core AI/ML systems directly in production environments, as well as researching new AI methodologies.\n\nData Processing & Automation: Employing Python and advanced SQL to process, automate, and analyze large datasets, ensuring high-quality input data.\n\nData Management & Pipeline Reliability: Collaborating closely with engineering teams to foster the availability, integrity, accuracy, and scalability of ML pipelines and workflow orchestrations.\n\nResearch & Problem-Solving: Translating complex business challenges and supply chain bottlenecks into AI/ML or optimization problems, proactively testing novel approaches to minimize costs.\n\nCollaboration & Communication: Working effectively with numerous DEX stakeholders throughout the full lifecycle of AI/ML systems, providing clear communication of advanced insights, and fostering knowledge sharing within the team.\n\nWe are looking for people who:\nExperience: Have at least 2 years of experience in building Machine Learning and Artificial Intelligence solutions deployed in production.\n\nAI/ML Knowledge: A deep understanding of AI/ML methods, especially decision tree-based algorithms, time series models, and neural networks.\n\nProgramming & Tools: Proficient in Python and highly comfortable with software development tools. Experience with core AI/ML Python libraries: Pandas/Polars, Scikit-learn, CatBoost, Optuna, Prophet, PyTorch, and LangGraph.\n\nDatabases: Advanced knowledge of SQL.\n\nAnalytical Thinking: Ability to translate business challenges into AI/ML problems and tackle them using novel approaches.\n\nLanguages: Polish B2 and English B2.\n\nEducation: Graduated with a degree strongly related to quantitative methods or statistical & mathematical modeling, such as Data Science, Mathematics, Physics, Econometrics, Computer Science, Engineering, Logistics, or a similar major.\n\nNice to have:\nProficiency in workflow orchestration and AI platforms, including Airflow / Google Cloud Composer and Gemini Enterprise Agent Platform (Vertex AI).\n\nFamiliarity with Operations Research concepts, Mathematical Optimization techniques (like MILP), and Graph Analytics.\n\nExperience with geospatial data and relevant libraries (e.g., GeoPandas, H3).\n\nWhy is it worth working with us?\nData-Driven Impact: Data Science plays a key role at Allegro. Our models and analyses significantly optimize logistics operations, lowering costs and shortening delivery times on one of the world's largest e-commerce platforms.\n\nInnovation: Direct involvement in building optimization solutions that revolutionize the logistics network and last-mile processes.\n\nSkill Development: You will work alongside top specialists, gaining access to large-scale data sets and a modern technology stack on GCP.\n\nProven Solutions: Our solutions aren't just theoretical. They demonstrate effectiveness and performance in real-world production environments, handling real logistics conditions and massive e-commerce scale.\n\nWhat's in it for you:\nFlexible working hours in the hybrid model (4 days in the office / 1 day remote) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.\n\nAnnual bonus based on your annual performance and company results.\n\nWell-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).\n\nA 16\" or 14\" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.\n\nA wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).\n\nEnglish classes that we pay for related to the specific nature of your job.\n\nA training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.\n\nAn additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.\n\nSocial events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.\n\nAnd that's just the beginning! You can read more about the benefits here.\n#goodtobehere means that:\nYou will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.\n\nYou will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.\n\nYou will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.\n\nYou will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).\n\nYou will create solutions that will be used (and loved!) by your friends, family and millions of our customers.\n\nYou will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.\n\nYou will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!\n\nSend us your CV and… see you at Allegro!","description_format":"text","description_chars":7426,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Polish","level":"Upper-Intermediate (B2)","optional":false},{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Apple Macbook","Cafeteria","Flexible schedule"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Transportation & Logistics","Logistics","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-09-29T04:13:31Z"}],"visa":[],"liveness":{"score":49,"band":"ok","label":"Likely open","p_open":1,"p_active":0.65,"p_room":0.75,"age_days":21,"expected_fill_days":22,"reasons":["conf:3","velocity","win:late","comp:junior,brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/allegro-data-scientist-logistics-ai-ml","json_url":"https://alion.io/job/allegro-data-scientist-logistics-ai-ml.json","meta":{"generated_at":"2026-10-18T21:55:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25161,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1876195},"rest":"https://alion.io/mcp/rest/get_company?id=1876195"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fallegro-data-scientist-logistics-ai-ml"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fallegro-data-scientist-logistics-ai-ml"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fallegro-data-scientist-logistics-ai-ml"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/allegro-data-scientist-logistics-ai-ml\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fallegro-data-scientist-logistics-ai-ml"}]}